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Qualitative Spatial Reasoning Extracting and Reasoning with Spatial Aggregates
2004
The AI Magazine
Preserved Fulltext
A case study application of weather analysis illustrates the effective representation and reasoning supported by both data-poor and data-rich forms of QSR. Articles ...
for use in subsequent tasks. ...
For those interested, the SAL source code can be downloaded from www.cs.purdue.edu/homes/cbk/sal.html or www.parc.com/zhao/sal.html. ...
doi:10.1609/aimag.v24i4.1730
dblp:journals/aim/Bailey-KelloggZ04
fatcat:arskhyelbjbftnaihkmigrp3ru
Robust Deep-Learning-Based Road-Prediction for Augmented Reality Navigation Systems
[article]
2016
arXiv
pre-print
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A framework is presented that applies the proposed approach to longer distance road course estimation, which is the basis for an augmented reality navigation application. ...
Road pixels are identified by training a multi-scale convolutional neural network on a large number of full-scene-labeled night-time road images including adverse weather conditions. ...
ACKNOWLEDGMENT The authors would like to thank Markus Thom and Oliver Hartmann for their valuable support. ...
arXiv:1605.09533v1
fatcat:ruv32m2ernb2jlrr6sx3mqtzlq
Topological Sweep for Multi-Target Detection of Geostationary Space Objects
[article]
2020
arXiv
pre-print
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The usage of geometric duality also yields an algorithm that is computationally efficient and suitable for online processing. ...
., satellites, space debris) in Geostationary orbit (GEO), which is home to major space assets such as telecommunications and navigational satellites. ...
For example, space-based detectors are more difficult to establish, but they are not as limited by weather and atmospheric effects as groundbased detectors. ...
arXiv:2003.09583v3
fatcat:qok44so7undmdlub5zuyyk46ke
Path segmentation for beginners: an overview of current methods for detecting changes in animal movement patterns
2016
Movement Ecology
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Path segmentation methods provide basics for detecting movement changes and the behavioral mechanisms driving them. ...
Consequently, it is currently difficult for researchers new to path segmentation to gain an overview of the different methods, and choose one that is appropriate for their data and research questions. ...
Acknowledgements We thank Jan Engler, Femke Pflüger, Maarten Hofman, and Diana Dishman for their valuable input and discussions improving our manuscript. ...
doi:10.1186/s40462-016-0086-5
pmid:27595001
pmcid:PMC5010771
fatcat:4mmp6jcpsjdmbch6shy5uuadbi
Probabilistic Rail Vehicle Localization With Eddy Current Sensors in Topological Maps
2011
IEEE transactions on intelligent transportation systems (Print)
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In particular, we employ Bayesian methods such as hidden Markov models for turnout detection and classification and, in a final step, sequential Monte Carlo sampling to combine the extracted information ...
in a topological map to obtain a reliable position estimate. ...
ACKNOWLEDGMENT The authors would like to thank the German Federal Ministry of Economics and Technology (BMWi), Bombardier Sweden, and the Karlsruher Verkehrsbetriebe. ...
doi:10.1109/tits.2011.2161291
fatcat:4gjeu3omardjvieicwcednupvy
Visualizing Local Weather Characteristics Interpreted from Glider GPS Flight Logs
[article]
2011
Pacific Conference on Computer Graphics and Applications
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When the derived thermal features are geo-referenced with 3D terrain models, results support post-flight evaluation and pre-flight planning. ...
For a given flight task, the pilot can derive an optimal flight path based on the presented visualization techniques and the statistics obtained from the historical records. ...
This research was supported in part by the Holmes Fellowship Foundation and the Taiwan National Science Council through grants NSC 99-2218-E-027-008-and NSC 100-2221-E-027-090-. ...
doi:10.2312/pe/pg/pg2011short/099-103
dblp:conf/pg/HsiehKH11
fatcat:aathq4g7cjhflbjslitwaykbdq
A Spatio-Temporal Schedule-Based Neural Network for Urban Taxi Waiting Time Prediction
2021
ISPRS International Journal of Geo-Information
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We apply a grid-based and functional structuration of an urban space that provides a lower-level data representation. ...
How to predict the taxi waiting time accurately at a certain time and location is the key solution for the imbalance between the taxis' supplies and demands. ...
Acknowledgments: The authors want to thank the editors and the reviewers for sharing their expert opinions on our manuscript, which has benefited from their constructive comments and suggestions. ...
doi:10.3390/ijgi10100703
doaj:6600f80d48eb40a5bd617144375bceb6
fatcat:deuns6ghkrebhpr7nkkdmr4774
Multi-Modal Contrastive Learning for LiDAR Point Cloud Rail-Obstacle Detection in Complex Weather
2024
Electronics
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However, the inevitable degradation of model performance occurs in complex weather and hinders its practical application. ...
LiDAR point cloud 3D semantic segmentation (3DSS) provides a new method for unmanned rail-obstacle detection. ...
Other studies have relied on semantic segmentation, focusing on rail track lines [40] or railway track area segmentation [42] . ...
doi:10.3390/electronics13010220
fatcat:fcy7gjkxlzdtnfol67jm4taczq
TensorMap: LIDAR-BASED TOPOLOGICAL MAPPING AND LOCALIZATION VIA TENSOR DECOMPOSITIONS
2018
2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
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2019 pre-print arXiv:1902.10226v1 fatcat:brb47fceffh65bo3nczdvtf3sm
We propose a technique to develop (and localize in) topological maps from light detection and ranging (Lidar) data. ...
To overcome this inherent trade-off between latency and accuracy, we propose a technique to develop topological maps from Lidar data using the orthogonal Tucker3 tensor decomposition. ...
We propose to learn a orthogonal Tucker3 model for each length-k segment, and there are L such models to be learnt. ...
doi:10.1109/globalsip.2018.8646665
dblp:conf/globalsip/RambhatlaSH18
fatcat:ja26xhnrjzbbfmntfeicdqcx3i
Security and Surveillance
[chapter]
2011
Visual Analysis of Humans
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Human eyes are highly efficient devices for scanning through a large quantity of low-level visual sensory data and delivering selective information to one's brain for high-level semantic interpretation ...
security and safety. ...
explicit object segmentation and tracking. ...
doi:10.1007/978-0-85729-997-0_23
fatcat:lodvka4hu5debd7wiovexhca3u
Topological Data Analysis and Machine Learning for Recognizing Atmospheric River Patterns in Large Climate Datasets
2018
Geoscientific Model Development Discussions
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We show that the method is suitable for rapidly analyzing large amounts of climate model and reanalysis output data.</p> ...
Here we propose an automated method for recognizing atmospheric rivers (ARs) in climate data using topological data analysis and machine learning. ...
Once properly defined, developing a scheme to identify and track events in time and space can proceed. ...
doi:10.5194/gmd-2018-53
fatcat:rl5dnw2fxbeenbjlzt2fxf25oi
Weather forecasting: Storm hunting with fractals
1986
Nature
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There are many analogies between the methods used in this field and those used, for example, in computational vision (see Global weather forecast models solve a version of the Navier-Stokes equations for ...
Cloud track winds can be derived from successive half-hourly scans in the visible and infrared. ...
doi:10.1038/319011a0
fatcat:iwwtjjvygvgtngi26ormt527am
A Neural Network-Based Method for Fast Capture and Tracking of Laser Links between Nonorbiting Platforms
2022
Computational Intelligence and Neuroscience
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In this paper, a neural network approach is used to conduct an in-depth study and analysis of the fast capture tracking method for laser links between nonorbiting platforms. ...
link beacons is modelled, and the link tracking stability optimization method is proposed under the requirement of link tracking accuracy, which provides an effective solution analysis method to realize ...
Fundamental Research Funds for the Central Universities. ...
doi:10.1155/2022/9296770
pmid:35096049
pmcid:PMC8799350
fatcat:gvxbpphhnzbqvc75rmzkfkssyu
Topology Based Object Tracking
2019
Mathematical and Computational Applications
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A model for tracking objects whose topological properties change over time is proposed. ...
A generalisation of this model for tracking spatially close objects lying in an ambient metric space is also proposed. ...
For many real world tracking problems, such as tracking weather phenomena, this is the more appropriate model. ...
doi:10.3390/mca24030084
fatcat:aknvj3sivvgpnklyzzizvkh7gy
TOST: A Topological Semantic Model for GPS Trajectories Inside Road Networks
2019
ISPRS International Journal of Geo-Information
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This paper argues for a novel semantic trajectory model named TOST. It considers both semantic and geographic information of trajectory data happens along network infrastructure simultaneously. ...
To organize trajectory data is a challenging issue for both studies on spatial databases and spatial data mining in the last decade, especially where there is semantic information involved. ...
Acknowledgments: The authors would like to thank the three anonymous reviewers for their valuable comments on the manuscript.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/ijgi8090410
fatcat:75gueb6iozbopouuapduotx3x4
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